Publication

---

All by Date / Google Scholar / (* for equal contribution)

Conference

• REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
  Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar
  USENIX Security Symposium 2024   Code / Slide / Video
  
  

• Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models
  Mingjia Huo, Sai Ashish Somayajula, Youwei Liang, Ruisi Zhang, Farinaz Koushanfar, Pengtao Xie
  International Conference on Machine Learning 2024   Code
  
  

• EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models
  Ruisi Zhang, Farinaz Koushanfar
  Design Automation Conference 2024   Code / Slide
  
  

• Automated Physical Design Watermarking Leveraging Graph Neural Networks
  Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar
  International Symposium on Machine Learning for CAD 2024   Code / Slide
  
  

• AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs
  Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar
  Design Automation Conference 2023   Slide
  
  

Journal

• ICMarks: A Robust Watermarking Framework for Integrated Circuit Physical Design IP Protection
  Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan, Farinaz Koushanfar
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2025   Code
  
  

• Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks
  Nasimeh Heydaribeni, Xinrui Zhan, Ruisi Zhang, Tina Eliassi-Rad, Farinaz Koushanfar
  Nature Machine Intelligence 2024   Code / News
  
  

• Watermarking Large Language Models and the Generated Content: Opportunities and Challenges
  Ruisi Zhang, Farinaz Koushanfar
  Asilomar Conference on Signals, Systems, and Computers 2024 (Invited Paper)   Slide
  
  

• Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings
  Ruisi Zhang, Shehzeen Hussain, Huili Chen, Mojan Javaheripi, Farinaz Koushanfar
  ACM Transactions on Design Automation of Electronic Systems 2023 (Keynote Paper)
  
  

Preprint

• SimpleFSDP: Simpler Fully Sharded Data Parallel with torch.compile
  Ruisi Zhang*, Tianyu Liu*, Will Feng, Andrew Gu, Sanket Purandare, Wanchao Liang, Francisco Massa
  
  

• Text revealer: Private text reconstruction via model inversion attacks against transformers
  Ruisi Zhang, Seira Hidano, Farinaz Koushanfar
  
  

• SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection
  Nasimeh Heydaribeni*, Ruisi Zhang*, Tara Javidi, Cristina Nita-Rotaru, Farinaz Koushanfar